Soil erosion risk analysis in landslide zones using remote sensing, GIS and RUSLE

• Main Authors: Anees, Mohd Talha, Abu Bakar, Ahmad Farid, Zaid, Mohammad
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: QE Geology
• Online Access: http://eprints.um.edu.my/43201/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115211805&doi=10.1007%2f978-3-030-80312-4_67&partnerID=40&md5=e5224dd8427da363f94d7bcf70e6b2f6
• Institution: Universiti Malaya

The present study was conducted in the Gua Musang of Kelantan state, Peninsular Malaysia. The surface of the terrain is exposed due to anthropogenic and deforestation activities. Soil erosion from exposed surfaces increased the risk and vulnerability of landslides in the study area. Therefore, for soil erosion risk assessment in landslide zones, the objectives are to analyze pixel-based soil erosion risk using Revised universal soil loss equation (RUSLE), remote sensing, and Geographic Information System (GIS). Also, identification of soil erosion conditions in landslide zones. Results showed that very high soil loss in the landslide zone. 42 of the area comes under landslide zones, where 43 of landslide zone area comes under very high soil loss. Whereas, overall very high soil loss in the area is 39. The results also indicated that settlement areas are under landslide zones, which could be at risk. Overall, soil erosion risk analysis in landslide zones using remote sensing, GIS, and RUSLE are useful and important. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.